University of Mumbai Syllabus For Semester 8 (BE Fourth Year) Modelling, Simulation and Optimization (MSO): Knowing the Syllabus is very important for the students of Semester 8 (BE Fourth Year). Shaalaa has also provided a list of topics that every student needs to understand.
The University of Mumbai Semester 8 (BE Fourth Year) Modelling, Simulation and Optimization (MSO) syllabus for the academic year 2021-2022 is based on the Board's guidelines. Students should read the Semester 8 (BE Fourth Year) Modelling, Simulation and Optimization (MSO) Syllabus to learn about the subject's subjects and subtopics.
Students will discover the unit names, chapters under each unit, and subtopics under each chapter in the University of Mumbai Semester 8 (BE Fourth Year) Modelling, Simulation and Optimization (MSO) Syllabus pdf 2021-2022. They will also receive a complete practical syllabus for Semester 8 (BE Fourth Year) Modelling, Simulation and Optimization (MSO) in addition to this.
University of Mumbai Semester 8 (BE Fourth Year) Modelling, Simulation and Optimization (MSO) Revised Syllabus
University of Mumbai Semester 8 (BE Fourth Year) Modelling, Simulation and Optimization (MSO) and their Unit wise marks distribution
University of Mumbai Semester 8 (BE Fourth Year) Modelling, Simulation and Optimization (MSO) Course Structure 2021-2022 With Marking Scheme
| # | Unit/Topic | Marks |
|---|---|---|
| 100 | Mass and Energy Balances | |
| 200 | Unit Equation Models | |
| 300 | Simulation | |
| 400 | Process Flowsheet Optimization | |
| Total | - |
Syllabus
- Introduction, Developing Unit Models for Linear Mass Balances, Linear Mass Balances, Setting Temperature or Pressure Levels from Mass Balances, Energy Balances.
- Introduction, Thermodynamic Options for Process Simulation, Flash Calculation, Distillation Calculations, Other Unit Operations.
- Introduction, Process Simulation Modes, Methods for Solving Systems of NLE, Recycle Partitioning and Tearing, Simulation Examples.
- Introduction, Constrained Non-Linear Programming, SQP, EO based Process Optimization.
